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Machine Learning and Data Mining in Pattern Recognition

Jezik EngleskiEngleski
Knjiga Meki uvez
Knjiga Machine Learning and Data Mining in Pattern Recognition Petra Perner
Libristo kod: 01661575
Nakladnici Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, srpanj 2012
This book constitutes the refereed proceedings of the 8th International Conference, MLDM 2012, held... Cijeli opis
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This book constitutes the refereed proceedings of the 8th International Conference, MLDM 2012, held in Berlin, Germany in July 2012. The 51 revised full papers presented were carefully reviewed and selected from 212 submissions. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multimedia data types such as image mining, text mining, video mining and web mining.

Informacije o knjizi

Puni naziv Machine Learning and Data Mining in Pattern Recognition
Autor Petra Perner
Jezik Engleski
Uvez Knjiga - Meki uvez
Datum izdanja 2012
Broj stranica 680
EAN 9783642315367
ISBN 3642315364
Libristo kod 01661575
Nakladnici Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Težina 1032
Dimenzije 155 x 235 x 37

Kategorija

Technology, Engineering, Agriculture > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics
Computing & Information Technology > Computer science > Artificial intelligence > Expert systems / knowledge-based systems
Computing & Information Technology > Computer science > Artificial intelligence > Machine learning
Computing & Information Technology > Computer science > Artificial intelligence > Pattern recognition
Computing & Information Technology > Computer science > Artificial intelligence > Computer vision
Computing & Information Technology > Computer programming / software engineering > Database programming
Computing & Information Technology > Databases > Data mining
Computing & Information Technology > Computer science > Mathematical theory of computation
Computing & Information Technology > Computer science > Image processing
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